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Jurnal Teknik Elektro
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 25491571     DOI : https://doi.org/10.15294/jte
Core Subject : Engineering,
Electrical & Electronics Engineering
Jurnal Teknik Elektro merupakan jurnal yang berisikan tentang artikel dalam bidang Teknik Elektro (Ketenagaan, Elektronika dan Kendali, Pengolahan Isyarat serta Komputer dan Informatika)
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol. 16 No. 1 (2024)" : 5 Documents clear
Microcontroller-based Design a Supporting System for Irradiance, Temperature and Tilt Angle Conditioning of PV Performance Measurement Idris, Ahmad Rosyid; Usman, Usman; Fauzan, Faturahman; Achmad, Alamsyah
Jurnal Teknik Elektro Vol. 16 No. 1 (2024)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v16i1.1032

Abstract

Several factors influence PV output, including irradiance, temperature, and panel tilt angle. Irradiance and tilt angle affect the Photovoltaic (PV) current, while temperature affects the PV voltage. To accurately measure the performance of PVs in the field, it is necessary to condition these three parameters. Therefore, a system should be created to condition these parameters. This research aims to develop a control and monitoring system based on the set point to condition irradiance, temperature, and tilt angle. This research started with system design, fabrication, and functionality testing with the black box method, sensor reading accuracy, and PV performance testing. The functionality testing results indicate that each test item can perform as expected. The sensor testing revealed 1%, 0.26%, and 1.8% errors for MLX90614, BH1750, and MPU6050, respectively. The system's performance was tested, and it was discovered that the input value, which is the setpoint of the three variables, i.e., irradiance, temperature, and tilt angle of the PV, can produce outputs that are almost the same as the input value and settling time is different to reach the setpoint of each parameter. PV performance measurement using this system can represent PV performance by conducting direct testing using direct sunlight.
Rotor Angle Analysis on Power Proportion in Generator and Photovoltaic Hybrid Low Voltage System Prastiyo, Fredi; Mochammad Facta; Susatyo Handoko
Jurnal Teknik Elektro Vol. 16 No. 1 (2024)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v16i1.3074

Abstract

Electrical energy is essential in modern society, and with the growing demand, all available energy resources are being utilized to meet this need. Insufficient planning and calculation in energy provision can affect the stability of electricity generated by power plants, especially in low-voltage microsystems directly connected to loads. This study investigates the behavior of synchronous microgenerators and photovoltaic systems, focusing on the rotor angle of the generator. Changes in the photovoltaic contribution can cause shifts in the generator's rotor angle, necessitating an analysis of these shifts. An experimental method was used to measure and analyze the power distribution by recording current and voltage in a micro synchronous generator and a grid-tie inverter under a 300-watt linear load. The results show that the generator’s rotor angle remains stable and the grid-tie inverter remains synchronized, with an average angle of 40.2° at a photovoltaic contribution of 32.26% and a synchronous microgenerator contribution of 67.74%. However, when the photovoltaic supply exceeds 37.00%, the rotor angle shifts further, leading to a loss of synchronization in the grid-tie inverter. Additionally, irradiance was found to have a linear effect on photovoltaic distribution. The findings of this study contribute to a better understanding of rotor angle behavior and grid synchronization, providing insights for the development of more reliable and efficient renewable energy systems that maintain electrical stability in low-voltage applications.
Land Cover Classification from Hyperspectral Images Using Regularized Hybrid CNN and ADAM Yuniati, Yetti; Ezra Taufiqurrahman
Jurnal Teknik Elektro Vol. 16 No. 1 (2024)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v16i1.7732

Abstract

The utilization of hyperspectral imagery offers enhanced detail and accuracy for environmental monitoring and natural resource management, particularly through land cover classification. Hyperspectral data capture spectral signatures across numerous wavelengths, allowing precise differentiation of various surface materials and land types. While numerous approaches have been proposed for hyperspectral image classification, many suffer from overly complex model structures and suboptimal performance, limiting their practical application. This study introduces a simplified yet effective architecture by implementing a Regularized Hybrid Convolutional Neural Network (CNN) optimized using Adaptive Moment Estimation (ADAM). The proposed model is evaluated on the widely used Pavia Center hyperspectral dataset to assess its performance in land cover classification tasks. The model achieves a notable Overall Accuracy of 99.25% and Average Accuracy of 97.50%, demonstrating its capability in handling high-dimensional hyperspectral data with reduced model complexity. Additionally, a comparative analysis with conventional CNN architectures is conducted, highlighting the superior performance and efficiency of the proposed approach. These findings underscore the potential of regularized hybrid CNNs as a reliable and scalable solution for hyperspectral image classification, especially in applications requiring high precision and reduced computational overhead.
Pilot Study: Portable Non-Invasive Blood Sugar, Cholesterol, Uric Acid Monitoring System Sumarti, Heni; Alvania Nabila Tasyakuranti; Qolby Sabrina
Jurnal Teknik Elektro Vol. 16 No. 1 (2024)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v16i1.8204

Abstract

Degenerative diseases commonly associated with abnormal blood sugar, cholesterol, and uric acid levels require regular monitoring. Remote health monitoring technology enables children to monitor their parents' health conditions from a distance. This research presents a prototype development through Research and Development (R&D) methodology. This study developed a portable, low-cost, non-invasive detection system for blood sugar, cholesterol, and uric acid levels using the TCRT5000 sensor with Telegram integration. The compact device offers real-time monitoring advantages without blood sampling. The development followed the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The research results show the prototype's coefficient of determination for blood sugar is 0.9733, cholesterol is 0.9411, and uric acid is 0.9610. The non-invasive prototype demonstrates measurement errors of 7.41% for blood sugar, 15.83% for cholesterol, and 14.69% for uric acid. These error rates currently exceed medical measurement standards. The system successfully integrates with the Telegram application for remote monitoring. Future research should incorporate artificial intelligence algorithms to minimize error values.
Comparative Analysis of Static Var Compensator and Distributed Generation Installation on Voltage Profile Zulfatri Aini; Guido, Muhammad Guido Randa Febiant; Tengku Reza Suka Alaqsa; Liliana
Jurnal Teknik Elektro Vol. 16 No. 1 (2024)
Publisher : LPPM Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v16i1.8824

Abstract

In Indonesia, electricity is a basic need with demand that continues to grow. PT PLN (Persero) projects an increase in electricity consumption of 8.9% by early 2022, highlighting the urgent need to address frequent problems such as blackouts, power losses, and voltage sags in the power distribution system. Effective solutions, including Static VAR Compensator (SVC) and Distributed Generation (DG), have been proposed to improve voltage stability and reduce power losses. This study evaluates and compares the performance of SVC and DG on a standard IEEE 14-bus system under increased load conditions. Using power flow analysis in ETAP, we simulate the installation of SVC at 15.99 Mvar and DG at 20.58 Mvar on bus 9, which shows optimal results. The findings show that DG slightly outperforms SVC in improving voltage stability and reducing power losses, with a 0.16% greater voltage increase and a 3.2 MW or 17.3% reduction in power losses. These results indicate that although both devices meet PLN’s voltage standards and improve power system efficiency, DG provides a slightly superior improvement in overall system performance.

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